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运用四种AI模式处理能力(模式直用、模式改进、模式迁移、模式构建)为任意学科领域生成符合学术要求的创新选题。模式改进内置10种创新元框架(第一性原理、逆向思维、辩证综合、随机性驱动、涌现生成、演化迭代、系统动力学、约束驱动、故事叙述、游戏化),模式直用的基元可运用所有模式创新且基元重组本身也是创新方式,模式迁移和模式构建均为创新方法。当用户需要选题、寻找研究方向、发现创新角度、或希望在特定领域探索非平庸论题时,应使用此技能。

ClawHub Agent Skills author: 波动几何 v1.0.1 MIT-0 2 files body ≈ 1 624 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1624 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 65 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is an instruction-only academic brainstorming skill; its scope is broad, but it does not request code execution, credentials, file access, or background behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026